Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

Stephan Winkler; Markus Hirsch; Michael Affenzeller; Luigi Del Re; Stefan Wagner

doi:10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

Stephan Winkler, Markus Hirsch, Michael Affenzeller, Luigi Del Re, Stefan Wagner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.

Original language	English
Title of host publication	Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers
Pages	657-664
Number of pages	8
Volume	5717
Edition	1
DOIs	https://doi.org/10.1007/978-3-642-04772-5_85
Publication status	Published - Sept 2009
Event	Twelve International Conference on Computer Aided Systems Theory 2009 - Las Palmas, Spain Duration: 15 Feb 2009 → 20 Feb 2009 http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5717 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Twelve International Conference on Computer Aided Systems Theory 2009
Country/Territory	Spain
City	Las Palmas
Period	15.02.2009 → 20.02.2009
Internet address	http://www.iuctc.ulpgc.es/spain/eurocast2009/index.html

Access to Document

10.1007/978-3-642-04772-5_85

Cite this

Winkler, S., Hirsch, M., Affenzeller, M., Del Re, L., & Wagner, S. (2009). Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. In Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers (1 ed., Vol. 5717, pp. 657-664). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5717 LNCS). https://doi.org/10.1007/978-3-642-04772-5_85

Winkler, Stephan ; Hirsch, Markus ; Affenzeller, Michael et al. / Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. Vol. 5717 1. ed. 2009. pp. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.",

author = "Stephan Winkler and Markus Hirsch and Michael Affenzeller and {Del Re}, Luigi and Stefan Wagner",

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Winkler, S, Hirsch, M, Affenzeller, M, Del Re, L & Wagner, S 2009, Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. in Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. 1 edn, vol. 5717, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5717 LNCS, pp. 657-664, Twelve International Conference on Computer Aided Systems Theory 2009, Las Palmas, Spain, 15.02.2009. https://doi.org/10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. / Winkler, Stephan; Hirsch, Markus; Affenzeller, Michael et al.
Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. Vol. 5717 1. ed. 2009. p. 657-664 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5717 LNCS).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AB - In this paper we discuss the generation of models for emissions of a Diesel engine, produced by genetic programming based evolutionary system identification: Models for the formation of NOx and particulate matter emissions are identified and analyzed. We compare these models to models designed by experts applying variables section and the identification of local polynomial models; analyzing the results summarized in the empirical part of this paper we see that the use of enhanced genetic programming yields models for emissions that are valid not only in certain parts of the parameter space but can be used as global virtual sensors.

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DO - 10.1007/978-3-642-04772-5_85

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Winkler S, Hirsch M, Affenzeller M, Del Re L, Wagner S. Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. In Computer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers. 1 ed. Vol. 5717. 2009. p. 657-664. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-04772-5_85

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification

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